System and method for processing multimodal images
US-2017228896-A1 · Aug 10, 2017 · US
US11636650B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11636650-B2 |
| Application number | US-201917279335-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 24, 2019 |
| Priority date | Sep 24, 2018 |
| Publication date | Apr 25, 2023 |
| Grant date | Apr 25, 2023 |
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The technology relates to generating a three-dimensional point cloud model of an anatomical structure. A computer accessible memory stores a three-dimensional array of data elements describing multiple anatomical features of a subject, each of the data elements having associated therewith positional data and a separate parameter value. A processor may be configured to identify any data elements in the three-dimensional array having an associated parameter value satisfying a predefined threshold value associated with at least one anatomical feature. The processor may be further configured to generate a visually displayable three-dimensional point cloud model of at least one anatomical structure having a first plurality of points in the point cloud model which define an exterior perimeter of the at least one anatomical structure and a second plurality points in the point cloud model which define at least one feature interior of the exterior perimeter of the at least one anatomical structure.
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The invention claimed is: 1. A system for generating a three-dimensional point cloud model of a bony anatomical structure, the system comprising: a computer accessible memory operational to store a three-dimensional array of data elements describing anatomical features of a subject, each of the data elements having associated therewith positional data and a separate parameter value; and a processor, operatively coupled to the computer accessible memory, operational to identify data elements in the three-dimensional array of which the associated parameter values satisfy a predefined range associated with the bony anatomical structure, wherein the processor is further operational to generate, from the positional data associated with the identified data elements, a visually displayable three-dimensional point cloud model of the bony anatomical structure having a first three-dimensional point cloud model which illustrates an exterior cortical bone surface of the bony anatomical structure and a second three-dimensional point cloud model which illustrates a density of cancellous bone beneath the exterior cortical bone surface of the bony anatomical structure, both the first and second point cloud models being simultaneously displayable within the three-dimensional point cloud model of the bony anatomical structure such that the exterior cortical bone surface and the density of the cancellous bone beneath the exterior cortical bone surface are simultaneously visually discernable. 2. The system of claim 1 further comprising: a display, coupled to the computer accessible memory and the processor, operational to render the three-dimensional point cloud model. 3. The system of claim 1 wherein the bony anatomical structure comprises a vertebral body. 4. The system of claim 1 wherein the data elements are voxels. 5. The system of claim 1 wherein there are less points comprising the point cloud model of the bony anatomical structure than data points comprising the three-dimensional array. 6. The system of claim 1 wherein the three-dimensional array is generated from a CT scan. 7. The system of claim 1 wherein each parameter value represents a measurement of radio density. 8. The system of claim 1 wherein each parameter value comprises a Hounsfield unit value. 9. The system of claim 8 , wherein the second point cloud model comprises a plurality of points arranged according to the positional data and Hounsfield unit values associated with the identified data elements so as to represent the density of the cancellous bone beneath the exterior cortical bone surface. 10. A method for generating a point cloud model of a bony anatomical structure, the method comprising: accessing a three-dimensional array of data elements describing at least a portion of physical anatomy of a subject, each of the data elements having associated therewith positional data and a separate parameter value; identifying data elements in the three-dimensional array of which the associated parameter values satisfy a predefined range; and generating from the positional data associated with the identified data elements a visually displayable three-dimensional point cloud model of the bony anatomical structure having a first three-dimensional point cloud model which illustrates an exterior cortical bone surface of the bony anatomical structure, and a second three-dimensional point cloud model which illustrates a density of cancellous bone beneath the exterior cortical bone surface of the bony anatomical structure, both the first and second point cloud models being simultaneously displayable within the three-dimensional point cloud model of the bony anatomical structure such that the exterior cortical bone surface and the density of the cancellous bone beneath the exterior cortical bone surface are simultaneously visually discernable. 11. The method of claim 10 wherein the data elements are voxels. 12. The method of claim 10 wherein there are less points comprising the point cloud model of the bony anatomical structure than data elements comprising the three-dimensional array. 13. The method of claim 10 wherein each parameter value represents a measurement of radio density. 14. The method of claim 10 wherein each parameter value comprises a Hounsfield unit value. 15. The method of claim 14 , wherein the second point cloud model comprises a plurality of points arranged according to the positional data and Hounsfield unit values associated with the identified data elements so as to represent the density of the cancellous bone beneath the exterior cortical bone surface. 16. The method of claim 10 wherein the bony anatomical structure comprises a vertebral body. 17. The method of claim 10 wherein the three-dimensional array is generated from a CT scan.
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